AI-driven e-commerce will progress in stages. It will start with human-prompted purchases, then move to agents proactively suggesting items, and ultimately culminate in autonomous agent-to-agent transactions based on predefined budgets and inferred needs, requiring no human intervention.

AI shopping agents will disrupt e-commerce models that rely on human browsing for data collection, recommendations, and upsells. When agents perform these tasks programmatically, sellers lose this crucial interaction and must pivot to building agent-friendly interfaces and incentives, effectively selling to an algorithm.

Microtransactions have historically failed because the 'mental load' of a human deciding on a small payment outweighs the value. AI agents, which can scrutinize tiny decisions without cognitive cost, can enable a new economy of per-use payments for data, content, and APIs.

To earn significant revenue, AI shopping agents can't just be order-takers for pre-existing purchase intent. Brands won't pay large referral fees for demand they already created elsewhere. Agents must prove they can generate *new* demand by suggesting products users weren't already planning to buy.

Agentic commerce isn't just a substitute for existing online shopping. It can unlock new spending from high-income individuals whose primary barrier to consumption is time, not money. By automating purchasing, agents reduce this "time cost of consumption," potentially adding new, incremental dollars to the economy.

The internet was built for human interaction. The rise of autonomous agents shopping for products and services on our behalf signals the dawn of an 'agentic web.' This will force a fundamental shift in marketing and sales, requiring businesses to learn how to effectively market to and be discovered by AI agents, not just humans.

Enabling AI agents to purchase goods autonomously creates entirely new consumer demand rather than merely boosting conversion efficiency for existing users. People delegate tasks and initiate transactions they previously avoided due to manual friction, expanding commercial volume. Consequently, agentic commerce enlarges the total addressable market as software entities open dedicated user accounts.

Middlemen like retailers exist because of information asymmetry. Personal AI agents, with deep knowledge of individual needs, will aggregate demand and purchase goods directly from producers like farmers and manufacturers. This will eliminate the need for advertisers and retailers and enable hyper-efficient supply chains.

For AI agents like Instinct to monetize shopping, they must do more than fulfill user commands for specific items. The real value, justifying high referral fees, comes from creating new purchase intent through intelligent, proactive suggestions. This shifts the agent from a simple tool to a demand-generation platform.